Smarter Data Center Deployment should avoid common mistakes.

1. Failure to take TCO into account
2. Poor cost-to-build estimating
3. Improper design criteria
4. Site selection before design criteria
5. Space planning before design criteria
6. Designing into dead-end
7. Misunderstanding PUE
8. Misunderstanding certification
9. Overcomplicated designs

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How eBay’s “Project Mercury” Used PUE, TCO and DCMM Best Practices to Drive the End-to-End Data Center Ecosystem

When eBay experienced the need to consolidate in the face of growing demand for data center space, it took a holistic, end-to-end view of the space it was using, the servers it was deploying, and how its data centers were designed and operated. This effort, internally named “Project Mercury,” used advanced technical, organizational, and business techniques to create a highly efficient data center, while giving eBay’s global online commerce platform lower costs, increased business agility, and room for future growth. → Read More

Network POP Case Study

Every year, Google saves millions of dollars and avoids emitting tens of thousands of tons of carbon dioxide thanks to our data center sustainability efforts. In fact, our facilities use half the energy of a typical data center. This case study is intended to show you how you can apply some of the cost-saving measures we employ at Google to your own data centers and networking rooms. At Google, we run many large proprietary data centers, but we also maintain several smaller networking rooms, called POPs or “Points of Presence”. → Read More